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A SHAP value method for ultimate strength prediction of stiffened panel: A data-driven tool in engineering

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Titel: A SHAP value method for ultimate strength prediction of stiffened panel: A data-driven tool in engineering
Autoren: Kim, Do Kyun, Sung, Si Hyuk, Song, Seoung Woo, Kim, Sang Jin, Prabowo, Aditya Rio, Kim, Seungjun, Seo, Jae Hoon, Ringsberg, Jonas, 1971
Quelle: Ocean Engineering. 343:1-19
Schlagwörter: Shapley additive exPlanations, Ultimate lomit state, marine structures, Data processing, Ultimate strength
Beschreibung: This study introduces a technique to derive the primary variables of the empirical formula for predicting the ultimate strength of stiffened panels by utilising the SHAP (SHapley Additive exPlanations) value, which is a means to explain the output of a machine learning model. Existing empirical equations, which can predict the ultimate compressive strength of stiffened panels, adopt plate- and column-slenderness ratios as the governing variables that may not suffice to capture the nonlinearity of ultimate limit state (ULS) behaviour. Recent studies have enhanced the accuracy by adopting additional dimensionless variables (hw/tw; Ipz/Isz), but there is still a lack of clear method for determining the relative importance of these variables. The present study, therefore, proposes a new procedure and criterion for defining the variables required for empirical expression development based on the feature importance of variables using SHAP values. The proposed systematic procedure may enable the define a configurable empirical expression form, and the extracted variables are substituted for each expression. The polynomial fitting is performed using a Pseudo Inverse Matrix to verify the improvement in accuracy compared to the existing empirical expression. The outcomes of this study, i.e., the applicability of the SHAP value method to select variables and the accuracy of the ULS prediction results, may be a reliable resource for predicting the ultimate compressive strength of local structures used in ships and offshore structures.
Zugangs-URL: https://research.chalmers.se/publication/548785
https://research.chalmers.se/publication/548998
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: A SHAP value method for ultimate strength prediction of stiffened panel: A data-driven tool in engineering
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kim%2C+Do+Kyun%22">Kim, Do Kyun</searchLink><br /><searchLink fieldCode="AR" term="%22Sung%2C+Si+Hyuk%22">Sung, Si Hyuk</searchLink><br /><searchLink fieldCode="AR" term="%22Song%2C+Seoung+Woo%22">Song, Seoung Woo</searchLink><br /><searchLink fieldCode="AR" term="%22Kim%2C+Sang+Jin%22">Kim, Sang Jin</searchLink><br /><searchLink fieldCode="AR" term="%22Prabowo%2C+Aditya+Rio%22">Prabowo, Aditya Rio</searchLink><br /><searchLink fieldCode="AR" term="%22Kim%2C+Seungjun%22">Kim, Seungjun</searchLink><br /><searchLink fieldCode="AR" term="%22Seo%2C+Jae+Hoon%22">Seo, Jae Hoon</searchLink><br /><searchLink fieldCode="AR" term="%22Ringsberg%2C+Jonas%22">Ringsberg, Jonas</searchLink>, 1971
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>Ocean Engineering</i>. 343:1-19
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Shapley+additive+exPlanations%22">Shapley additive exPlanations</searchLink><br /><searchLink fieldCode="DE" term="%22Ultimate+lomit+state%22">Ultimate lomit state</searchLink><br /><searchLink fieldCode="DE" term="%22marine+structures%22">marine structures</searchLink><br /><searchLink fieldCode="DE" term="%22Data+processing%22">Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Ultimate+strength%22">Ultimate strength</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This study introduces a technique to derive the primary variables of the empirical formula for predicting the ultimate strength of stiffened panels by utilising the SHAP (SHapley Additive exPlanations) value, which is a means to explain the output of a machine learning model. Existing empirical equations, which can predict the ultimate compressive strength of stiffened panels, adopt plate- and column-slenderness ratios as the governing variables that may not suffice to capture the nonlinearity of ultimate limit state (ULS) behaviour. Recent studies have enhanced the accuracy by adopting additional dimensionless variables (hw/tw; Ipz/Isz), but there is still a lack of clear method for determining the relative importance of these variables. The present study, therefore, proposes a new procedure and criterion for defining the variables required for empirical expression development based on the feature importance of variables using SHAP values. The proposed systematic procedure may enable the define a configurable empirical expression form, and the extracted variables are substituted for each expression. The polynomial fitting is performed using a Pseudo Inverse Matrix to verify the improvement in accuracy compared to the existing empirical expression. The outcomes of this study, i.e., the applicability of the SHAP value method to select variables and the accuracy of the ULS prediction results, may be a reliable resource for predicting the ultimate compressive strength of local structures used in ships and offshore structures.
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  Label: Access URL
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.oceaneng.2025.123159
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1
    Subjects:
      – SubjectFull: Shapley additive exPlanations
        Type: general
      – SubjectFull: Ultimate lomit state
        Type: general
      – SubjectFull: marine structures
        Type: general
      – SubjectFull: Data processing
        Type: general
      – SubjectFull: Ultimate strength
        Type: general
    Titles:
      – TitleFull: A SHAP value method for ultimate strength prediction of stiffened panel: A data-driven tool in engineering
        Type: main
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    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kim, Do Kyun
      – PersonEntity:
          Name:
            NameFull: Sung, Si Hyuk
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            NameFull: Song, Seoung Woo
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            NameFull: Kim, Sang Jin
      – PersonEntity:
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            NameFull: Prabowo, Aditya Rio
      – PersonEntity:
          Name:
            NameFull: Kim, Seungjun
      – PersonEntity:
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            NameFull: Seo, Jae Hoon
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            NameFull: Ringsberg, Jonas
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
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            – Type: issn-print
              Value: 00298018
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            – Type: volume
              Value: 343
          Titles:
            – TitleFull: Ocean Engineering
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